An artificial neural network model for the prediction of bruxism by means of occlusal variables

dc.contributor.author	Álvarez Arenal, Ángel
dc.contributor.author	Llanos Lanchares, Héctor de
dc.contributor.author	Martín Fernández, Elena
dc.contributor.author	González Gutiérrez, Carlos
dc.contributor.author	Mauvezín Quevedo, Mario Andrés
dc.contributor.author	Cos Juez, Francisco Javier de
dc.date.accessioned	2018-02-06T10:10:26Z
dc.date.available	2018-02-06T10:10:26Z
dc.date.issued	2018
dc.identifier.isbn	9783319671796
dc.identifier.issn	2194-5357
dc.identifier.uri	http://hdl.handle.net/10651/45125
dc.description	International Joint Conference SOCO'17- CISIS'17-ICEUTE'17 Proceedings (2017. Leon, España)
dc.format.extent	p. 371-380
dc.language.iso	eng
dc.relation.ispartof	12th Int Conf Soft Computing Models in Industrial and Environmental Applications (SOCO) / 10th Int Conf on Computational Intelligence in Security for Information Systems (CISIS) / 8th Int Conf on European Transnational Education Ubicación: Leon, SPAIN sep 06-08, 2017
dc.relation.ispartofseries	Advances in Intelligent Systems and Computing, 469
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028631516&doi=10.1007%2f978-3-319-67180-2_36&partnerID=40&md5=4e958a30854af9989133b17675cfa457
dc.title	An artificial neural network model for the prediction of bruxism by means of occlusal variables	eng
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-319-67180-2_36
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-319-67180-2_36

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